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First International Conference on Innovative Computing, Information and Control - Volume III (ICICIC'06)
New Robust Stability Criteria for Uncertain Neural Networks with Time-Varying Delays
Beijing, China
August 30-September 01
ISBN: 0-7695-2616-0
ASCII Text
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Jinhui Zhang, Jiqing Qiu, Peng Shi, "New Robust Stability Criteria for Uncertain Neural Networks with Time-Varying Delays," Innovative Computing ,Information and Control, International Conference on, vol. 3, pp. 648-651, First International Conference on Innovative Computing, Information and Control - Volume III (ICICIC'06), 2006.
 
 
BibTex
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@article{ 10.1109/ICICIC.2006.481,
author = {Jinhui Zhang and Jiqing Qiu and Peng Shi},
title = {New Robust Stability Criteria for Uncertain Neural Networks with Time-Varying Delays},
journal ={Innovative Computing ,Information and Control, International Conference on},
volume = {3},
year = {2006},
isbn = {0-7695-2616-0},
pages = {648-651},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICICIC.2006.481},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Innovative Computing ,Information and Control, International Conference on
TI - New Robust Stability Criteria for Uncertain Neural Networks with Time-Varying Delays
SN - 0-7695-2616-0
SP648
EP651
A1 - Jinhui Zhang,
A1 - Jiqing Qiu,
A1 - Peng Shi,
PY - 2006
KW - null
VL - 3
JA - Innovative Computing ,Information and Control, International Conference on
ER -
 
Jinhui Zhang, Hebei University of Science and Technology, China
Jiqing Qiu, Hebei University of Science and Technology, China
Peng Shi, University of Glamorgan, UK
The problem of robust stability for uncertain neural networks with time-varying delays is investigated in this paper. The system possesses norm-bounded uncertainties. The time-varying delay function in this paper maybe not continuously differentiable and its derivative may be not smaller than one. Based on Lyapunov-Krasovskii functional approach, some new delay-dependent stability criteria are presented, which are in terms of linear matrix inequalities (LMIs). Numerical example is given to illustrate the effectiveness and less conservative of the developed techniques.
Citation:
Jinhui Zhang, Jiqing Qiu, Peng Shi, "New Robust Stability Criteria for Uncertain Neural Networks with Time-Varying Delays," icicic, vol. 3, pp.648-651, First International Conference on Innovative Computing, Information and Control - Volume III (ICICIC'06), 2006
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